Data-driven learning of Mori–Zwanzig operators for isotropic turbulence-Reference-Cited by-同舟云学术

Data-driven learning of Mori–Zwanzig operators for isotropic turbulence

Published:2021-12 Issue:12 Volume:33 Page:125118
ISSN:1070-6631
Container-title:Physics of Fluids
language:en
Short-container-title:Physics of Fluids

Author:

Tian Yifeng¹^ORCID,Lin Yen Ting²^ORCID,Anghel Marian²^ORCID,Livescu Daniel¹^ORCID

Affiliation:

1. Computational Physics and Methods Group, Computer, Computational and Statistical Sciences Division (CCS-2), Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

2. Information Sciences Group, Computer, Computational and Statistical Sciences Division (CCS-3), Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

Funder

Los Alamos National Laboratory

Publisher

AIP Publishing

Subject

Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0070548

Reference41 articles.

1. Decay of Isotropic Turbulence in the Direct-Interaction Approximation

2. Lagrangian-History Closure Approximation for Turbulence

3. Lagrangian Markovianized field approximation for turbulence

4. Transport, Collective Motion, and Brownian Motion

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